ISSN: 1751-8849

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IET Systems Biology Q3 Unclaimed

John Wiley & Sons Inc. United Kingdom

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IET Systems Biology is a journal indexed in SJR in Cell Biology and Molecular Biology with an H index of 53. It has an SJR impact factor of 0,365 and it has a best quartile of Q3. It has an SJR impact factor of 0,365.

Type: Journal

Type of Copyright:

Languages:

Open Access Policy:

Type of publications:

Publication frecuency: -

Categories: Biotechnology (Q3) Modeling and Simulation (Q3) Cell Biology (Q4) Genetics (Q4) Molecular Biology (Q4)

Price

- €

Inmediate OA

NPD

Embargoed OA

- €

Non OA

Metrics

0,365

SJR Impact factor

53

H Index

28

Total Docs (Last Year)

76

Total Docs (3 years)

1418

Total Refs

160

Total Cites (3 years)

76

Citable Docs (3 years)

1.8

Cites/Doc (2 years)

50.64

Ref/Doc

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Aims and Scope

Best articles by citations

Graph theory and stability analysis of protein complex interaction networks

Propagation of fluctuations in biochemical systems, II: nonlinear chains

Modelling the CheYD10K,Y100WHalobacterium salinarum mutant: sensitivity analysis allows choice of parameter to be modified in the phototaxis model

Combinatorial regulation: characteristics of dynamic correlations

Cross-platform method for identifying candidate network biomarkers for prostate cancer

Dynamics of microRNA-mediated motifs

Design of synthetic biological logic circuits based on evolutionary algorithm

Construction and analysis of microRNA-transcription factor regulation network in arabidopsis

Hierarchical parameter estimation of GRN based on topological analysis

Using graphical adaptive lasso approach to construct transcription factor and microRNA's combinatorial regulatory network in breast cancer

Mathematical modelling of toxicity-related trade-offs in metronomic chemotherapy

Legitimacy of the stochastic Michaelis-Menten approximation

SHOW MORE ARTICLES

Evaluation of an advanced model reference sliding mode control method for cardiac assist device using a numerical model

Computational approaches for understanding the diagnosis and treatment of Parkinson's disease

Effective sampling trajectory optimisation for sensitivity analysis of biological systems

In silico discovery of significant pathways in colorectal cancer metastasis using a two-stage optimisation approach

Determining the distance to monotonicity of a biological network: a graph-theoretical approach

Generating probabilistic Boolean networks from a prescribed transition probability matrix

Period-phase map: two-dimensional selection of circadian rhythm-related genes

Editorial

Regulatory network motifs and hotspots of cancer genes in a mammalian cellular signalling network

Inference of gene networks from temporal gene expression profiles

Computational modelling identifies the impact of subtle anatomical variations between amphibian and mammalian skeletal muscle on spatiotemporal calcium dynamics

Improving GRN re-construction by mining hidden regulatory signals